Role Description The main objective of the assignment is to provide high-level advice and strategic guidance on efforts around gender data and statistics to support UN Women Afghanistan in building a comprehensive evidence base on gender equality and women's rights in Afghanistan. - Address the limited availability of accessible knowledge and analysis on the gender dynamics of Afghanistan. - Ensure decision-makers, advocates, and partners have robust, credible evidence for gender-responsive policy and programming choices. - Provide technical support on statistical modelling and quantitative analysis. - Advise on the development and refinement of composite indicators and indices suited to the Afghan context. - Maximise the analytical value of available data through innovative approaches. - Support the translation of complex quantitative findings into accessible analysis for policy and programming audiences. Qualifications - Master's degree in a relevant field such as statistics, applied statistics, mathematics, or a related quantitative field. - Bachelor’s degree in the above disciplines with two years of additional relevant experience may be considered in lieu of a master’s degree. Requirements - At least 10 years of progressively responsible work experience as a statistician with a master's degree in a quantitative field. - Excellent analytical and technical skills in quantitative data analysis, statistical modelling, and statistical methodologies. - Demonstrable experience in leading the production of indices, including the development of new composite measures. - Previous relevant experience working with data and statistics in areas related to gender equality and women's rights. - Previous relevant experience with international organizations, government agencies, or NGOs. - Any relevant certifications, such as a Certified Statistician (CS) or a Certified Analytics Professional (CAP). - Fluency in written and spoken English. - Knowledge of the other UN official working language is an asset. Benefits - Home-based consultancy. Company Description UN Women, grounded in the vision of equality enshrined in the Charter of the United Nations, works for the elimination of discrimination against women and girls; the empowerment of women; and the achievement of equality between women and men as partners and beneficiaries of development, human rights, humanitarian action and peace and security. - UN Women has been in Afghanistan for two decades. - UN Women Afghanistan currently has five key programme priorities: - Integrated Programming and Localization - Women’s movement building through core grant making - Policy and Research - Economic Resilience and Private Sector - Coordination, Access and Humanitarian Response

• Lead a team of data scientists, covering topics across retention and acquisition marketing • Oversee the development & maintenance of production-grade machine learning models, across topics such as customer lifetime value, customer segmentation, multi-armed bandits, media mix modeling, and attribution • Manage projects centered around marketing data analysis, including leveraging causal inference frameworks, to assess impact from efforts and drive outcomes • Integrate LLMs into data & operations workflows, to increase throughput & scale across domains • Mentor junior team members, enhancing analytical rigor throughout the PrizePicks Analytics Team • Effectively manage projects, ensuring deadlines and objectives are met, and business impact is made • Collaborate with senior leadership, to align marketing data science effort with overall company & marketing goals

• Lead or contribute to the design and execution of rigorous quantitative research and evaluation projects across multiple Learning Supports initiatives. • Apply appropriate quantitative methods to collect, manage, analyze, and interpret data, including leading inferential analyses for both causal and non‑causal research questions. • Develop, maintain, and document reproducible and collaborative analytic workflows, including data management processes and quality control procedures. • Review, quality‑check, and strengthen analytic code and outputs produced by junior staff; provide guidance and mentorship to promote best practices in analysis and documentation. • Translate complex analytic findings into clear, actionable insights for client reports, technical memos, presentations, and briefings. • Manage discrete project tasks or analytic components, including planning timelines, tracking deliverables, and coordinating with project leadership and clients. • Support proposal development by contributing to technical and analytic sections and helping shape study design and analytic approaches. • Engage with internal and external stakeholders through meetings and dissemination activities, contributing to a collaborative and inclusive team environment.

Role Description IV.AI is looking for a Data Scientist to join and help work on machine learning problems (in the field of natural language processing) for large enterprise clients and to improve the suite of products that we offer. The ideal candidate should be helpful, responsive, dependable, and comfortable working remotely within a small team with tight deadlines. We value people who thrive working collaboratively in a distributed team and who are enthusiastic about the potential of machine learning. - Your primary responsibility is to deliver quality production-ready code, data, and insights. - Execute on defined tasks and contribute to solving problems with defined solutions. Salary range: USD$20,000 to $36,000 (USD) annual based on experience Timezone: PST Employment Type: Full Time Employee Qualifications - Great people come from diverse backgrounds. - We’re not necessarily looking for a Computer Science Masters or PhD. - Looking for someone who cares about articulating high quality data observations. - Ability to work diligently while tackling problems systematically. Requirements - 2+ years writing queries in SQL or running models in Python/Jupyter. - 2+ years experience with statistical analysis. - Write and speak clearly, communicate empathetically. - High standard of excellence for your work. - Attention to detail: spotting typos in text and errors in data. Bonus Points - Data visualization beyond pies and bars (e.g. box and whiskers, histograms, violin plots). - Github: pull, push, merge, PR, cherry-picking, issue tracking. - Regular Expressions. - PostgreSQL 12+. - An example where we can see your writing style (in English), ideally data-related. Responsibilities - Primarily focus on improving your craft as a Data Scientist. - Build SQL queries to calculate specific metrics. - Prototype data pipelines on Jupyter. - Write clear and concise reports for client deliverables, and documentation for internal tools. - Analyze and present datasets or results with simple methods. - Understand the reasoning behind the team's design decisions to verify and debug implementations of the designs. Company Description IV.AI is the world's smartest AI platform with a focus on enterprise. We have grown fast but aim to retain the scrappy nature that enabled us to build big ML models that outperform the industry standards. There are a lot of companies right now that talk about the potential impact of AI while we hustle hard and have actually proven the benefits repeatedly. - We’re trying to help everyone become better informed by using machine learning. - Our inclusive culture values people regardless of their background, education, or upbringing. - You should expect hard challenges working with our tier 1 client list. - Being professional and respectful of our clients is of the utmost importance. - Our employees are constantly problem-solving and assessing their own output to maximize delivery. - We never try to write more code than is necessary for a task. - We’re still young; expect that you'll be part of a core team, able to have a say in the future of the company.